Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

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Research on the Operation Characteristics of Road Cold Chain Transport Based on Big Data

Authors
Mengfei Cao1, *, Sicong Li1, Jing Ye1
1Research Institute of Highway, Ministry of Transportation, Beijing, 100088, China
*Corresponding author. Email: mf.cao@rioh.cn
Corresponding Author
Mengfei Cao
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-640-1_20How to use a DOI?
Keywords
Big data; road cold chain transport; operation analysis; spatial distribution
Abstract

With the rapid development of big data technology and its support for operational monitoring in the logistics industry, this paper utilizes trajectory data from refrigerated vehicles to analyze the operational characteristics of China’s road cold chain transport from three perspectives: scale, spatial distribution, and network structure. The results show that in 2024, the scale of road cold chain transport continues to grow steadily, with cold chain urban distribution services maintaining a dominant role. The demand for road cold chain transport in economically developed regions is relatively active, internal road cold chain transport connections among urban agglomerations such as the Yangtze River Delta, Beijing-Tianjin-Hebei, Chengdu-Chongqing, and the Greater Bay Area are close. In addition, the clustering coefficient indicates that the road cold chain transport network has become more tightly connected, and the hub functions of central cities are further strengthened.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
20 April 2026
ISBN
978-94-6239-640-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-640-1_20How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mengfei Cao
AU  - Sicong Li
AU  - Jing Ye
PY  - 2026
DA  - 2026/04/20
TI  - Research on the Operation Characteristics of Road Cold Chain Transport Based on Big Data
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 217
EP  - 230
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_20
DO  - 10.2991/978-94-6239-640-1_20
ID  - Cao2026
ER  -